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- Kido Autonomous Skill Distiller — Closed-Loop Failure Harvesting & Skill Graduation
Kido Autonomous Skill Distiller — Closed-Loop Failure Harvesting & Skill Graduation
Continuous learning engine that captures hard-won production debug traces, git diffs, and incident transcripts into durable AI agent skills. Automatically drafts, tests in sandbox worktrees, and gradu
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About this skill
Kido Autonomous Skill Distiller — Closed-Loop Failure Harvesting & Skill Graduation
Continuous learning engine that captures hard-won production debug traces, git diffs, and incident transcripts into durable AI agent skills. Automatically drafts, tests in sandbox worktrees, and graduates production skills with zero knowledge evaporation by Dương Phúc Khánh (Duong Phuc Khanh · Kido — blog.khanhdp.com | khanhdp.com)
Key Capabilities
- Automated mining of session transcripts and git diffs after resolving complex bugs
- Drafting standardized SKILL.md specs with frontmatter, trigger phrases, and battle drills
- Sandbox validation and verification testing before promotion
- Automatic propagation across local and global agent configuration registries
Author: Dương Phúc Khánh (Duong Phuc Khanh · Kido) — blog.khanhdp.com | khanhdp.com/about
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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